Integrated AWS Bedrock AI data

After the synchronization, the assets are available in the specified domain.

Warning Do not move the assets to another domain. Doing so may lead to errors during future synchronizations.

By default, the assets are shown in a plain list, but you can enable a multi-path hierarchy to show it in a tree structure.

The Default Asset Status field in the capability determines the status of synchronized assets.

  • If you select No Status, newly created assets receive the first status listed in your Operating Model statuses, and existing assets keep their assigned status.
  • If you select Implemented, all assets receive the "Implemented" status.
Note For more information about AI Model Version asset statuses, go to Configure the lifecycle stages of AI Governance assets.

Synchronized metadata per AWS Bedrock AI asset type

This table shows the metadata for the AWS Bedrock AI asset types. If you do not see any of the listed synchronized metadata, you can add characteristics to the layout on the asset type page.

Note If you remove a label in Amazon Bedrock after a AWS Bedrock AI synchronization, the attribute for the removed label is removed when you integrate AWS Bedrock AI again.

Asset type Synchronized metadata Public ID
AI Base Model Description From Source System DescriptionFromSourceSystem
AWS Bedrock AI Model Version

 

Description From Source System DescriptionFromSourceSystem
Supported Input Modalities SupportedInputModalities
Supported Output Modalities SupportedOutputModalities
Supported Model Customizations SupportedModelCustomizations
Any custom metrics defined via the configuration. If you use custom metrics, ensure that you add them to the assignment and layout on the asset type page.  
AI Model Deployment Description From Source System DescriptionFromSourceSystem
Creation Date in Source CreationDateInSource
Modification Date in Source ModificationDateInSource
AI Agent Description From Source System DescriptionFromSourceSystem
Creation Date in Source CreationDateInSource

Any custom metrics defined via the configuration. If you use custom metrics, ensure that you add them to the assignment and layout on the asset type page.

 
AI Agent uses / is used by AI Model Version AIAgentUsesAIModel
AI Agent has version / is version of AI Agent Version AgentHasVersion
AI Agent Version Description from source system DescriptionFromSourceSystem
Version Version
Creation Date in Source Creation Date in Source
AI Agent has version / is version of AI Agent Version AgentHasVersion
AI Agent Version can call / can be called by AI Agent Tool AgentVersionCallsTool
AI Agent Tool AI Agent Version can call / can be called by AI Agent Tool AgentVersionCallsTool
AI Endpoint Access Method AccessMethod
Access Instructions AccessInstructions
Endpoint Availability EndpointAvailability
Supported Interaction Protocols SupportedInteractionProtocols
File File Location FileLocation
Storage Container Location Location